Geom-GCN: Geometric Graph Convolutional Networks H Pei, B Wei, KCC Chang, Y Lei, B Yang International Conference on Learning Representations (ICLR), 2020 | 1347 | 2020 |
Learning memory-augmented unidirectional metrics for cross-modality person re-identification J Liu, Y Sun, F Zhu, H Pei, Y Yang, W Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 159 | 2022 |
Next generation technology for epidemic prevention and control: data-driven contact tracking H Chen, B Yang, H Pei, J Liu Ieee Access 7, 2633-2642, 2018 | 73 | 2018 |
Early warning of human crowds based on query data from Baidu maps: Analysis based on Shanghai stampede J Zhou, H Pei, H Wu Big data support of urban planning and management: The experience in China …, 2018 | 71 | 2018 |
Active surveillance via group sparse Bayesian learning H Pei, B Yang, J Liu, KCC Chang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1133-1148, 2022 | 65 | 2022 |
Reinforcement learning based recommendation with graph convolutional q-network Y Lei, H Pei, H Yan, W Li Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 38 | 2020 |
Identity preserving generative adversarial network for cross-domain person re-identification J Liu, W Li, H Pei, Y Wang, F Qu, Y Qu, Y Chen IEEE Access 7, 114021-114032, 2019 | 36 | 2019 |
Group sparse bayesian learning for active surveillance on epidemic dynamics H Pei, B Yang, J Liu, L Dong The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018 | 31 | 2018 |
Social attentive deep Q-networks for recommender systems Y Lei, Z Wang, W Li, H Pei, Q Dai IEEE Transactions on Knowledge and Data Engineering 34 (5), 2443-2457, 2020 | 28 | 2020 |
Social attentive deep Q-network for recommendation Y Lei, Z Wang, W Li, H Pei Proceedings of the 42nd international acm sigir conference on research and …, 2019 | 27 | 2019 |
Characterizing and discovering spatiotemporal social contact patterns for healthcare B Yang, H Pei, H Chen, J Liu, S Xia IEEE transactions on pattern analysis and machine intelligence 39 (8), 1532-1546, 2016 | 25 | 2016 |
Robust visual question answering: Datasets, methods, and future challenges J Ma, P Wang, D Kong, Z Wang, J Liu, H Pei, J Zhao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 16 | 2024 |
Curvature Regularization to Prevent Distortion in Graph Embedding H Pei, B Wei, KCC Chang, C Zhang, B Yang Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020 | 15 | 2020 |
Feature cloud: Improving deep visual recognition with probabilistic feature augmentation J Liu, Y Sun, Y Xu, H Pei, W Li IEEE Transactions on Circuits and Systems for Video Technology 32 (7), 4122-4137, 2021 | 10 | 2021 |
Neural explainable recommender model based on attributes and reviews YY Liu, B Yang, HB Pei, J Huang Journal of Computer Science and Technology 35, 1446-1460, 2020 | 9 | 2020 |
Memory disagreement: A pseudo-labeling measure from training dynamics for semi-supervised graph learning H Pei, Y Xiong, P Wang, J Tao, J Liu, H Deng, J Ma, X Guan Proceedings of the ACM Web Conference 2024, 434-445, 2024 | 6 | 2024 |
Hago-net: Hierarchical geometric massage passing for molecular representation learning H Pei, T Chen, A Chen, H Deng, J Tao, P Wang, X Guan Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14572 …, 2024 | 6 | 2024 |
LaenNet: Learning robust GCNs by propagating labels C Zhang, X Li, H Pei, Z Zhang, B Liu, B Yang Neural Networks 168, 652-664, 2023 | 6 | 2023 |
Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing H Pei, Y Li, H Deng, J Hai, P Wang, J Ma, J Tao, Y Xiong, X Guan Forty-first International Conference on Machine Learning, 2024 | 5 | 2024 |
Debate on graph: a flexible and reliable reasoning framework for large language models J Ma, Z Gao, Q Chai, W Sun, P Wang, H Pei, J Tao, L Song, J Liu, ... AAAI 2024, 2024 | 3 | 2024 |